The DAUF project - “Datadriven Analys och Uppföljning av KTHs Forskning”
A demo of the “KTH Publication Analysis app” with projects data from CASE
Overview of available data sources for projects at KTH
Your questions and feedback
2023-03-09
The DAUF project - “Datadriven Analys och Uppföljning av KTHs Forskning”
A demo of the “KTH Publication Analysis app” with projects data from CASE
Overview of available data sources for projects at KTH
Your questions and feedback
Trend towards better overview of research outputs as well as integration of systems.
Example from Stanford
Stanford RIALTO project (Youtube)
The idea is that the analysis app will complement the Annual bibliometric monitoring (ABM), and answer questions like:
https://analysis.sys.kth.se/bibliometrics/app/publ_analysis
Collaboration network
Projects related to staff from ITM:Energy technology
TECoSA Centre running since 2020 used as example, based on 9 PIs.
462 publications 2010-2022
137 publications 2020-2022 (e.g. from the TECoSA-period)
28 projects in CASE - “Case Management System for Research Projects” @ KTH
14 projects 2020-2021 (seems to be more in CASE, but some with missing data on duration)
Info on funders and SDG-goals on projects
Picture of collaborations, through co-publication
DAUF has been building bottom-up data consolidation and analytics for KTH, making links between Researchers <-> Outputs <-> Projects <-> Organisations
“Which projects are active? Which researchers are involved? From which organisations? Grant sizes?”
There is no single “source of truth” for all projects at KTH. Data requirements depend on who asks the questions and for what purpose.
What are the most important questions you have in relation to projects at KTH?
Encompasses projects that have received funding from 29 different agencies, covering a time frame from 2009 to 2024
Although information on funding organizations is available, it remains insufficient and requires improvement (e.g. 22% are NA)
Synergies and Challenges of Integrating Heterogeneous KTH Project Datasets
Synergies and Challenges of Integrating Heterogeneous KTH Project Datasets
Overlap - Unions and intersections for different data sources
Determined based on your input and directions provided by product owners.
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Thank you for attending!